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Algorithms, Part 1 of 3Problem SolvingAlgorithmsExamples of AlgorithmsWashing Machine InstructionsObservations About the Washing Machine InstructionsRefinement of Algorithm DefinitionInstructions for a Ready-to-Assemble Piece of FurnitureFinal Version of the Algorithm DefinitionHistory of AlgorithmsEuclid’s AlgorithmFinding the GCD of 24 and 9Euclid’s Algorithm (con’t)The Idea Behind AlgorithmsAlgorithm RepresentationContrasting Syntax and SemanticsSlide 17Slide 18Algorithms, Part 1 of 3TopicsDefinition of an AlgorithmAlgorithm ExamplesSyntax versus SemanticsReadingSections 3.1 - 3.3Problem SolvingProblem solving is the process of transforming the description of a problem into the solution of that problem.We use our knowledge of the problem domain.We rely on our ability to select and use appropriate problem-solving strategies, techniques, and tools.AlgorithmsAn algorithm is a step by step solution to a problem.Why bother writing an algorithm?For your own use in the future. You won’t have to rethink the problem.So others can use it, even if they know very little about the principles behind how the solution was derived.Examples of AlgorithmsWashing machine instructionsInstructions for a ready-to-assemble piece of furnitureA classic: finding the greatest common divisor (GCD) using Euclid’s AlgorithmWashing Machine InstructionsSeparate clothes into white clothes and colored clothes.Add 1 cup of powdered laundry detergent to tub.For white clothes:Set water temperature knob to HOT.Place white laundry in tub.For colored clothes:Set water temperature knob to COLD.Place colored laundry in tub.Close lid and press the start button.Observations About the Washing Machine InstructionsThere are a finite number of steps.We are capable of doing each of the instructions.When we have followed all of the steps, the washing machine will wash the clothes and then will stop.Refinement of Algorithm DefinitionOur old definition: An algorithm is a step by step solution to a problem.Adding our observations: An algorithm is a finite set of executable instructions that directs a terminating activity.Instructions for a Ready-to-Assemble Piece of Furniture"Align the marks on side A with the grooves on Part F.“ How could these instructions be hard to follow?Which side is A? A & B look alike -- both line up with Part F! This instruction is ambiguous.Final Version of the Algorithm DefinitionOur old definition: An algorithm is a finite set of executable instructions that directs a terminating activity.Final version:An algorithm is a finite set of unambiguous, executable instructions that directs a terminating activity.History of AlgorithmsThe study of algorithms began as a subject in mathematics.The search for algorithms was a significant activity of early mathematicians.Goal: To find a single set of instructions that can be used to solve any problem of a particular type (a general solution).Euclid’s AlgorithmProblem: Find the largest positive integer that divides evenly into two given positive integers (i.e., the greatest common divisor).Algorithm:Assign M and N the values of the larger and smaller of the two positive integers, respectively.Divide M by N and call the remainder R.If R is not 0, then assign M the value of N, assign N the value of R, and return to Step 2. Otherwise, the greatest common divisor is the value currently assigned to N.Finding the GCD of 24 and 9M N R24 9 6 9 6 3 6 3 0So, 3 is the GCD of 24 and 9.Euclid’s Algorithm (con’t)Do we need to know the theory that Euclid used to come up with this algorithm in order to use it?What intelligence is required to find the GCD using this algorithm?The Idea Behind AlgorithmsOnce an algorithm behind a task has been discoveredWe don't need to understand the principles.The task is reduced to following the instructions.The intelligence is "encoded into the algorithm."Algorithm RepresentationSyntax and SemanticsSyntax refers to the representation itself.Semantics refers to the concept represented (i.e., the logic).Contrasting Syntax and SemanticsIn the English language, we have both syntax and semantics.Syntax is the grammar of the language.Semantics is the meaning.Given the following sentence,I walked to the corner grocery store.Is this sentence syntactically correct?Is it semantically correct?Contrasting Syntax and SemanticsGiven the following sentence,I talked to the funny grocery store.Is this sentence syntactically correct?Is it semantically correct?How aboutI grocery store walked corner the to.Contrasting Syntax and SemanticsConclusion: An English sentence may be syntactically correct, yet semantically incorrect.This is also true of algorithms.And it is also true of computer


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UMBC CMSC 104 - Algorithms,

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